Therapeutic techniques and session impact: A practice-research network study in private practice.

Objective: This study investigated the relationship between therapeutic techniques and session impact, by examining the replicability of findings observed in a university-based training clinic (Boswell et al., 2010) in another practice-oriented setting: private practice.Method: N = 8 therapists completed session-level assessments of their technique use for N = 38 clients. The same client sample completed session-level assessments of session outcome. Technique-outcome associations were examined with multilevel models.Results: As in Boswell et al., common factors were associated with positive session impact. For clients who received higher average common factor techniques (relative to their own therapist's caseload), session impact was the poorest in sessions with higher behavioral change techniques use (relative to the client's own average). Moreover, clients with the lowest average common factor techniques (relative to their therapist's caseload) reported better session impact in sessions that involved a higher degree of session-level behavioral change techniques (relative to their own average).Conclusion: In line with Boswell et al., therapists should be mindful of the consistency of their routine technique use between- and within-clients, and this can be aided through collection of their own practice-oriented data.

Predicting future courses of psychotherapy within a grouped LASSO framework.

Objective: There is a paucity of studies examining the experience of clients who undergo multiple courses of psychotherapy. Conducted within a large practice research network, this study demonstrated that returning therapy clients comprise a considerable portion of the clinical population in university counseling settings, and identified variables associated with return to therapy. Method: Utilizing data spanning 2013 to 2017, statistical variable selection for predicting return to therapy was conducted via grouped least absolute shrinkage and selection operator (grouped LASSO) applied to logistic regression. The grouped LASSO approach is described in detail to facilitate learning and replication. The paper also addresses methodological considerations related to this approach, such as sample size, generalizability, as well as general strengths and limitations. Results: Attendance rate, duration of initial treatment course, social anxiety, perceived social support, academic distress, and alcohol use were identified as predictive of return to therapy. Conclusions: Findings could help inform more cost-effective policies for session limits (e.g., extending session limits for clients with social anxiety), referral decisions (e.g., for clients with alcohol use problems), and appointment reminders (based on the association between poor attendance rate and return to therapy). Taking into account the many reasons that can explain why clients do or do not return to therapy, these findings also could inform clinicians' early case conceptualizations and treatment interventions.